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**greenbrown**: greenbrown - land surface phenology and trend analysis**ndvi**: Time series of Normalized Difference Vegetation Index

# Time series of Normalized Difference Vegetation Index

### Description

This is an example time series of Normalized Difference Vegetation Index (NDVI) from a grid cell in central Alaska. NDVI is a measure of vegetation greenness and is related to the coverage of green vegetation, photosynthetic activity and green biomass. NDVI ranges between -1 and 1. Bare ground and snow has usually NDVI values below 0.2 while vegetated areas have NDVI values above 0.2. This NDVI time series is from the GIMMS (Global Inventory, Monitoring, and Modeling Studies) dataset (Tucker et al. 2005) that provides NDVI estimates from AVHRR (Advanced Very High Resolution Radiometer) satellite observations.

### Format

A object of class `ts`

.

### References

Tucker, C.; Pinzon, J.; Brown, M.; Slayback, D.; Pak, E.; Mahoney, R.; Vermote, E.; El Saleous, N., An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT VEGETATION NDVI data. International Journal of Remote Sensing 2005, 26, 4485-4498.

### Examples

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- AccuracyAssessment: Accuracy assessment from a contingency table
- AccuracyAssessment: Accuracy assessment from a contingency table
- AllEqual: Check if all values in a vector are the same
- AllEqual: Check if all values in a vector are the same
- brgr.colors: Brown-to-green color palette for NDVI trend maps
- brgr.colors: Brown-to-green color palette for NDVI trend maps
- ColorMatrix: Create a square matrix of colors
- ColorMatrix: Create a square matrix of colors
- CompareClassification: Compare two classification maps
- CompareClassification: Compare two classification maps
- CropNA: Crop outer NA values from a raster
- CropNA: Crop outer NA values from a raster
- Decompose: Simple decomposition of time series
- Decompose: Simple decomposition of time series
- FillPermanentGaps: Fill permanent gaps in time series
- FitDoubleLogBeck: Fit a double logisitic function to a vector according to Beck...
- FitDoubleLogBeck: Fit a double logisitic function to a vector according to Beck...
- FitDoubleLogElmore: Fit a double logisitic function to a vector according to...
- FitDoubleLogElmore: Fit a double logisitic function to a vector according to...
- GetInfoVI3g: Get meta-information from GIMMS VI3g binary file names
- GetInfoVI3g: Get meta-information from GIMMS VI3g binary file names
- GetTsStatisticsRaster: Estimate statistical properties of time series in a...
- GetTsStatisticsRaster: Estimate statistical properties of time series in a...
- greenbrown-package: greenbrown - land surface phenology and trend analysis
- greenbrown-package: greenbrown - land surface phenology and trend analysis
- Greenup: Identify greenup and senescence periods in time series
- Greenup: Identify greenup and senescence periods in time series
- InterpolateMatrix: Interpolate NA values in a matrix using a moving mean
- InterpolateMatrix: Interpolate NA values in a matrix using a moving mean
- IsPermanentGap: Identify if a gap in a time series occurs permanently
- IsPermanentGap: Identify if a gap in a time series occurs permanently
- Kappa: Calculate the Kappa coefficient of two classifications
- Kappa: Calculate the Kappa coefficient of two classifications
- KGE: Compute Kling-Gupta efficiency and related metrics of two...
- KGE: Compute Kling-Gupta efficiency and related metrics of two...
- KGERaster: Compute Kling-Gupta efficiency and related metrics of two...
- KGERaster: Compute Kling-Gupta efficiency and related metrics of two...
- KGETrendUncertainty: Compute uncertainty of Kling-Gupta efficiency based on...
- KGETrendUncertainty: Compute uncertainty of Kling-Gupta efficiency based on...
- MapBreakpoints: Plot map of breakpoints
- MapBreakpoints: Plot map of breakpoints
- MeanSeasonalCycle: Calculate the mean seasonal cycle of a time series
- MeanSeasonalCycle: Calculate the mean seasonal cycle of a time series
- NamesPhenologyRaster: Get the layer names for a PhenologyRaster raster brick
- NamesPhenologyRaster: Get the layer names for a PhenologyRaster raster brick
- NamesTrendRaster: Get the layer names for a TrendRaster raster brick
- NamesTrendRaster: Get the layer names for a TrendRaster raster brick
- ndvi: Time series of Normalized Difference Vegetation Index
- ndvi: Time series of Normalized Difference Vegetation Index
- ndvimap: Map of Normalized Difference Vegetation Index
- ndvimap: Map of Normalized Difference Vegetation Index
- NoBP: Initialize an empty list with breakpoints
- NoBP: Initialize an empty list with breakpoints
- NoTrend: Initialize an empty object of class "Trend"
- NoTrend: Initialize an empty object of class "Trend"
- PhenoDeriv: Method 'Deriv' to calculate phenology metrics
- PhenoDeriv: Method 'Deriv' to calculate phenology metrics
- Phenology: Calculate phenology metrics in time series
- Phenology: Calculate phenology metrics in time series
- PhenologyNCDF: Calculate phenology metrics on time series in gridded...
- PhenologyNCDF: Calculate phenology metrics on time series in gridded...
- PhenologyRaster: Calculate phenology metrics on time series in gridded...
- PhenologyRaster: Calculate phenology metrics on time series in gridded...
- PhenoTrs: Method 'Trs' to calculate phenology metrics
- PhenoTrs: Method 'Trs' to calculate phenology metrics
- plot.CompareClassification: plot a comparison of two classification rasters
- plot.CompareClassification: plot a comparison of two classification rasters
- PlotPhenCycle: Plot a easonal cycle with phenology metrics
- PlotPhenCycle: Plot a easonal cycle with phenology metrics
- plot.Phenology: Plot time series of phenology metrics
- plot.Phenology: Plot time series of phenology metrics
- plot.Trend: Plot trend and breakpoint results
- plot.Trend: Plot trend and breakpoint results
- plot.TrendGradient: Plotting function for objects of class TrendGradient
- plot.TrendGradient: Plotting function for objects of class TrendGradient
- plot.TrendSample: Plot uncertainty of estimated trend dependent on start and...
- plot.TrendSample: Plot uncertainty of estimated trend dependent on start and...
- PolygonNA: Plot a polygon by accounting for NA values (breaks in...
- PolygonNA: Plot a polygon by accounting for NA values (breaks in...
- print.Phenology: Print a summary of phenology metrics
- print.Phenology: Print a summary of phenology metrics
- print.Trend: Print a summary of calculated trends
- print.Trend: Print a summary of calculated trends
- ReadVI3g: Read and pre-process GIMMS VI3g binary files
- ReadVI3g: Read and pre-process GIMMS VI3g binary files
- Seasonality: Check a time series for seasonality
- Seasonality: Check a time series for seasonality
- SimIAV: Simulate the inter-annual variability component of a...
- SimIAV: Simulate the inter-annual variability component of a...
- SimRem: Simulate the short-term variability component of a surrogate...
- SimRem: Simulate the short-term variability component of a surrogate...
- SimSeas: Simulate the seasonal component of a surrogate time series
- SimSeas: Simulate the seasonal component of a surrogate time series
- SimTrend: Simulate trend and breakpoints of a surrogate time series
- SimTrend: Simulate trend and breakpoints of a surrogate time series
- SimTs: Simulate surrogate time series
- SimTs: Simulate surrogate time series
- SplitRasterEqually: Splits a raster in equal-area parts
- SplitRasterEqually: Splits a raster in equal-area parts
- SSASeasonalCycle: Calculate a modulated seasonal cycle of a time series based...
- SSASeasonalCycle: Calculate a modulated seasonal cycle of a time series based...
- summary.Phenology: Print a summary of phenology metrics
- summary.Phenology: Print a summary of phenology metrics
- summary.Trend: Print a summary of calculated trends
- summary.Trend: Print a summary of calculated trends
- Trend: Calculate trends and trend changes in time series
- Trend: Calculate trends and trend changes in time series
- TrendAAT: Trend estimation based on annual aggregated time series
- TrendAAT: Trend estimation based on annual aggregated time series
- TrendClassification: Classify a raster in greening and browning trends
- TrendClassification: Classify a raster in greening and browning trends
- TrendGradient: Calculate temporal trends along a spatial gradient
- TrendGradient: Calculate temporal trends along a spatial gradient
- TrendLongestSEG: Extract slope and p-value for the longest time series segment...
- TrendLongestSEG: Extract slope and p-value for the longest time series segment...
- TrendNCDF: Calculate trends and trend statistics on time series in...
- TrendNCDF: Calculate trends and trend statistics on time series in...
- TrendPoly: Trend estimation based on a 4th order polynomial
- TrendPoly: Trend estimation based on a 4th order polynomial
- TrendRaster: Calculate trends on time series in gridded (raster) data
- TrendRaster: Calculate trends on time series in gridded (raster) data
- TrendRunmed: Trend estimation based on a running median
- TrendRunmed: Trend estimation based on a running median
- TrendSample: Compute trend statistics by sampling a time series according...
- TrendSample: Compute trend statistics by sampling a time series according...
- TrendSeasonalAdjusted: Trend estimation based on seasonal-adjusted time series
- TrendSeasonalAdjusted: Trend estimation based on seasonal-adjusted time series
- TrendSegmentsRaster: Identify for each multi-temporal raster layer the number of...
- TrendSegmentsRaster: Identify for each multi-temporal raster layer the number of...
- TrendSpline: Trend estimation based on a smoothing splines
- TrendSpline: Trend estimation based on a smoothing splines
- TrendSSA: Trend estimation based on SSA (singluar spectrum analysis)
- TrendSSA: Trend estimation based on SSA (singluar spectrum analysis)
- TrendSTL: Trend estimation based on STL (Seasonal Decomposition of Time...
- TrendSTL: Trend estimation based on STL (Seasonal Decomposition of Time...
- TrendSTM: Trend estimation based on a season-trend model
- TrendSTM: Trend estimation based on a season-trend model
- TrendUncertainty: Compute uncertainties in trend statistics according to...
- TrendUncertainty: Compute uncertainties in trend statistics according to...
- TSGFdoublelog: Temporal smoothing and gap filling using double logisitic...
- TSGFdoublelog: Temporal smoothing and gap filling using double logisitic...
- TSGFlinear: Temporal smoothing and gap filling using linear interpolation
- TSGFlinear: Temporal smoothing and gap filling using linear interpolation
- TSGFspline: Temporal smoothing and gap filling using splines
- TSGFspline: Temporal smoothing and gap filling using splines
- TSGFssa: Temporal smoothing and gap filling using singular spectrum...
- TSGFssa: Temporal smoothing and gap filling using singular spectrum...
- TsPP: Pre-processing of time series
- TsPP: Pre-processing of time series
- WriteNCDF: Write raster objects to NetCDF files
- WriteNCDF: Write raster objects to NetCDF files